Installation

How to install skene-growth using uvx, pip, or from source.

Prerequisites

• Python 3.11 or later. Check your version with python3 --version.

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Option 1: uvx (Recommended)

uvx runs Python CLI tools without installing them globally. This is the fastest way to start using skene-growth.

If you don't have uv installed yet:

curl -LsSf https://astral.sh/uv/install.sh | sh

Then run any skene-growth command directly:

uvx skene-growth analyze .
uvx skene-growth plan

No pip install needed. uvx downloads the package into an isolated environment on first run and caches it for subsequent calls.

The skene shorthand

The package also registers a skene entry point that launches the interactive chat interface:

uvx --from skene-growth skene

Note: Because skene is not the package name, you need --from skene-growth when using uvx. If you install via pip (Option 2), you can run skene directly.

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Option 2: pip

Install skene-growth into your current Python environment:

pip install skene-growth

After installation, the skene-growth and skene commands are available on your PATH:

skene-growth analyze .
skene chat

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Option 3: From source

Clone the repository and install in development mode:

git clone https://github.com/SkeneTechnologies/skene-growth.git
cd skene-growth

Using uv (recommended):

uv sync

Using pip:

pip install -e .

To include all optional dependencies for development:

pip install -e ".[mcp,ui,dev]"

The [dev] group adds pytest, pytest-asyncio, and ruff for running tests and linting.

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Optional extras

Install extras for additional functionality:

# With uvx (use --from to specify extras)
uvx --from "skene-growth[mcp]" skene-growth-mcp

# With uv
uv pip install skene-growth[mcp]

# With pip
pip install skene-growth[mcp]
pip install skene-growth[mcp,ui]

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Verifying the installation

Run the version check to confirm everything is working:

skene-growth --version

Expected output:

skene-growth 0.2.0

If you used uvx:

uvx skene-growth --version

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Next steps

Proceed to the Quickstart to configure an LLM provider and run your first codebase analysis.